private void GetOnsets(Wav w, MemoryAllocator allocator)
{
//construct the spectrogram
var s = new Spectrogram(w, allocator, _options.WindowSize, _options.FPS, _options.Online, NeedPhaseInformation(_options.DetectionFunction));
//perform adaptive whitening
if (_options.AdaptiveWhitening)
{
s.AW(_options.AWFloor, _options.AWRelax);
}
//construct the filterbank
var filt = new Filter(_options.WindowSize / 2, w.Samplerate, allocator);
//filter the spectrogram
s.Filter(filt.Filterbank);
//take the log of the spectrogram
if (_options.Log)
{
s.Log(_options.LogMultiplier, _options.LogAdd);
}
//calculate the activations
var sodf = new SpectralODF(s, allocator);
var act = GetActivations(sodf, _options.DetectionFunction);
//detect the onsets
var o = new Onsets(act, _options.FPS);
o.Detect(_options.ActivationThreshold, _options.MinimumTimeDelta, delay: w.Delay * 1000);
var count = o.Detections.Count(f => f < (w.Delay + w.Padding));
//add the onsets to the collection
lock (_lock)
{
_onsets.AddRange(o.Detections.Skip(count));
_amplitudes.AddRange(o.Amplitudes.Skip(count));
}
_completed++;
ProgressReporter.Report(String.Format("{0}%", Math.Round((((float)_completed / _sliceCount)) * 100f)));
//cleanup
s.Cleanup();
filt.Cleanup();
}
/// <summary>
/// Creates a new ODF object instance
/// </summary>
/// <param name="spectogram">the spectrogram on which the detection functions operate</param>
/// <param name="ratio">calculate the difference to the frame which has the given magnitude ratio</param>
/// <param name="frames">calculate the difference to the N-th previous frame</param>
public SpectralODF(Spectrogram spectogram, MemoryAllocator allocator, float ratio=0.22f, int frames=0)
{
_s = spectogram;
_allocator = allocator;
//determine the number of diff frames
if (frames == 0)
{
//get the first sample with a higher magnitude than given ratio
var sample = _s.Window.Find(f => f > ratio).Item1;
var diff_samples = _s.Window.Count / 2 - sample;
//convert to frames
frames = (int)Math.Round(diff_samples / _s.HopSize);
}
//set the minimum to 1
if (frames < 1) frames = 1;
_diffFrames = frames;
}
/// <summary>
/// Creates a new ODF object instance
/// </summary>
/// <param name="spectogram">the spectrogram on which the detection functions operate</param>
/// <param name="ratio">calculate the difference to the frame which has the given magnitude ratio</param>
/// <param name="frames">calculate the difference to the N-th previous frame</param>
public SpectralODF(Spectrogram spectogram, MemoryAllocator allocator, float ratio = 0.22f, int frames = 0)
{
_s = spectogram;
_allocator = allocator;
//determine the number of diff frames
if (frames == 0)
{
//get the first sample with a higher magnitude than given ratio
var sample = _s.Window.Find(f => f > ratio).Item1;
var diff_samples = _s.Window.Count / 2 - sample;
//convert to frames
frames = (int)Math.Round(diff_samples / _s.HopSize);
}
//set the minimum to 1
if (frames < 1)
{
frames = 1;
}
_diffFrames = frames;
}
private void GetOnsets(Wav w, MemoryAllocator allocator)
{
//construct the spectrogram
var s = new Spectrogram(w, allocator, _options.WindowSize, _options.FPS, _options.Online, NeedPhaseInformation(_options.DetectionFunction));
//perform adaptive whitening
if (_options.AdaptiveWhitening) s.AW(_options.AWFloor, _options.AWRelax);
//construct the filterbank
var filt = new Filter(_options.WindowSize / 2, w.Samplerate, allocator);
//filter the spectrogram
s.Filter(filt.Filterbank);
//take the log of the spectrogram
if (_options.Log) s.Log(_options.LogMultiplier, _options.LogAdd);
//calculate the activations
var sodf = new SpectralODF(s, allocator);
var act = GetActivations(sodf, _options.DetectionFunction);
//detect the onsets
var o = new Onsets(act, _options.FPS);
o.Detect(_options.ActivationThreshold, _options.MinimumTimeDelta, delay: w.Delay * 1000);
var count = o.Detections.Count(f => f < (w.Delay + w.Padding));
//add the onsets to the collection
lock (_lock)
{
_onsets.AddRange(o.Detections.Skip(count));
_amplitudes.AddRange(o.Amplitudes.Skip(count));
}
_completed++;
ProgressReporter.Report(String.Format("{0}%", Math.Round((((float)_completed / _sliceCount))*100f)));
//cleanup
s.Cleanup();
filt.Cleanup();
}
